Color Vision Assessment Under Luminance and Display Contrast
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Solution Overview
Problem
Existing color vision tests primarily focus on genetic color vision deficiencies and are limited in identifying and categorizing the wide range of color vision deficiencies caused by both genetic and non-genetic factors, failing to account for changes over time and environmental influences.
Innovation Solution
A system and method that assesses color vision by sampling the visible light spectrum considering luminance and display contrast, allowing for the identification of individual spectral filters to categorize and cluster color vision deficiencies, and dynamically adjust displays or environments to improve color perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional color vision tests are used, then genetic color vision deficiencies can be identified, but non-genetic color vision deficiencies and environmental influences cannot be detected
Solution Approach 1:
The system transforms static color vision testing into a dynamic process by continuously varying multiple parameters including luminance levels, spectral power distributions, and temporal modulation frequencies. This allows the system to probe different aspects of color vision processing and detect both genetic and non-genetic deficiencies through pattern recognition across multiple parameter combinations.
Solution Approach 2:
The invention adds temporal dimension to traditional spatial color vision tests by introducing time-varying luminance and spectral characteristics. This transforms a two-dimensional color space problem into a three-dimensional problem incorporating time, enabling detection of dynamic color vision deficits that static tests cannot capture.
2Ease of operation
If static color vision tests are used, then test administration is simple, but changes in color vision over time cannot be monitored
Solution Approach 1:
The system implements dynamic testing where luminance, spectral power distribution, and stimulus timing are continuously adjusted during test administration. This dynamic approach allows the same test protocol to adapt to individual patient responses while maintaining ease of administration through automated parameter control, enabling reliable longitudinal monitoring.
Solution Approach 2:
The system incorporates real-time feedback loops where patient responses to dynamic stimuli inform subsequent parameter adjustments. This feedback mechanism allows the test to automatically adapt to individual color vision characteristics while maintaining standardized assessment protocols, facilitating both simple administration and reliable longitudinal tracking.
3Ease of manufacture
If color vision tests are administered without considering luminance and display contrast, then test setup is straightforward, but measurement accuracy is compromised
Solution Approach 1:
The system performs preliminary calibration of display devices and measurement of ambient luminance conditions before administering the color vision test. This pre-characterization of the viewing environment allows the test to compensate for external factors automatically, maintaining measurement precision without complicating the actual test administration for users.
Solution Approach 2:
The system creates a universal test protocol that automatically adapts to different display devices and ambient lighting conditions by incorporating luminance and contrast measurements into the core assessment algorithm. This multi-functional approach allows the same test to achieve high precision across diverse testing environments without requiring separate calibration procedures.
Data Source
AI summary
The present invention provides novel systems and methods to determine a person's ability to perceive colors across the visual light spectrum taking into account luminance of the surrounding environment, contrast of the display being used to convey the test, or both. The present invention can be used to measure individual color vision perception at specific times or over time or in populations over time to assist with the identification of clusters of color vision deficiencies, their association with agents of both genetic and non-genetic cause and thereby improve understanding of the dynamics of color vision deficiency in individuals and across populations.